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AI for Public Health and Population Health Management
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Author(s): Kalpana Pravin Rahate (Galgotias University, India)and Manvi Karayat (Galgotias University, India)
Copyright: 2024
Pages: 26
Source title:
Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry
Source Author(s)/Editor(s): Veena Grover (Noida Institute of Engineering and Technology, India), Balamurugan Balusamy (Manipal Academy of Higher Education, Dubai, UAE), Nallakaruppan M.K. (Vellore Institute of Technology, India), Vijay Anand (Vellore Institute of Technology, India)and Mariofanna Milanova (University of Arkansas at Little Rock, USA)
DOI: 10.4018/979-8-3693-5468-1.ch003
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Abstract
Artificial intelligence (AI) has great promise for changing the healthcare industry, especially in resource-constrained settings. From the discovery of medications to public health, artificial intelligence has reshaped traditional approaches to health innovation. Its applications are well-documented: machine learning algorithms have been employed by electronic health record (EHR) systems to identify data and perform predictive analysis to alert doctors to co-morbidities and high-risk situations. Electronic health records, mobile health, telemedicine, artificial intelligence, and other digital health practices, together with smartphone-based healthcare solutions, are effective instruments in the battle against infectious illnesses that are prone to pandemics. It is possible to hunt down those who are infected by using sign-monitoring devices. AI-powered gadgets that constantly track the vitals of patients along with medical metrics can help healthcare professionals recognise the beginning stages of DRPs or poor responses.
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